14 research outputs found
Decision Support System for Determining Number of Depot to Distribute Material in the Rattan Furniture Industry by Considering the Location-Allocation Problem
No full textIn this paper we will develop a spreadsheet-based Decision Support System (DSS) to determine the
number of rattan depot and supply allocation to meet the production centers demand with case study in Solo Raya.
The DSS incorporates database, model base, analysis tool, and Graphical User Interface (GUI) and user.
Databases for storing data, the model base to keep models, analysis tool is required for solving the model and GUI
allows users to interact with the database, model base and analysis tool. Data base, the base model and analysis
tool are developed using the spreadsheet. The basic idea of the proposed approach is the spreadsheets can be used
to build data-driven, model-driven DSS and solver-driven DSS. The model was developed by consider two stages
of distribution network, multi commodities of raw rattan, and multi-periods of production plan. The DSS
development approaches used in order to government can efficiently make the policy. DSS software interface is
designed so user-friendly with point and click application so that users can operate quickly and easily. Users do
not need to formulate a mathematical model despite they want to change index values or parameters repeatedly.
The test results of case examples provided also give good results, where the software is capable for processing data
based on selected model. The DSS is capable for providing location results and the allocation of raw or processed
rattan at the depot on minimal total supply chain cost. The result may be a consideration for the policy makers to
determine the right location of rattan depot.
Keywords: decision support system, spreadsheet, location-allocation model, rattan industr
A Facility Location-Allocation Model for Determining Number of Depot to Distribute Material in the Rattan Furniture Industry by Considering Dynamic Demand
No full textThis paper is a study of a facility location-allocation problem in the rattan furniture industry. There
are six production centers (PCs) of rattan furniture in Surakarta and its surroundings. However, their export
sales are decline due to some possible problems in raw rattan distribution network from the sources centers
(SCs), e.g. Borneo and Celebes Island to production centers. In the previous research, the model was expanded
to support local government decide to determine optimal number of depot by consider static demand. This
policy is aimed to cut the distribution channel and reduce total supply chain costs. Due to changing of global
market, the demand is fluctuate. The previous model cannot anticipate this situation; consequently the local
government needs a facility location-allocation model by considering dynamic demand. The objective of this
research is to develop a model for supporting the local government to decide optimal number of depot by
considers dynamic demand. A mixed integer non-linear programming (MINLP) was proposed to minimize total
supply chain costs. The proposed model assumed that the demand for multiple products is known in advance.
The potential raw rattan depot and source locations as well as their maximum capacities are also known.
Finally, the proposed model can be used as instrument decision making to determine facility location-allocation.
Keywords: dynamic demand, a facility location-allocation model, rattan industry competitiveness, total supply
chain costs
Designing Information System To Support Business Process Improvement In A Small-Mid Size Bottled Drinking Water Industry
No full textDue to inefficiencies of the business processes in small-mid size of bottled drinking water industries,
it is necessary to improve them. The improvements are carried out in business processes of production,
warehouse, delivery, marketing, and finance departments. The main causes of the inefficiencies are the
inefficiencies of the business process itself and that the business processes of those departments were not
integrated. This paper is concerned with designing information system to support for the integration of those
departments. First, we mapped the business process of each department using flow diagram. Then analyze the
inefficiencies of each department. Next, we redesign the business processes and standardize them. The next step
is integrating the business processes by designing the information system. We design the information system
modular. The modules are marketing module, production module, logistic module and finance module. Data
Flow Diagram (DFD) is used to model the system. Relational database management system (RDBMS) is used
to design the database. User interfaces are built to ease in using the program application. The outputs of the
information system are reports and documents in monitor screen view and in printing. The validation showed
that the information system designed can support the business process improvements.
Keywords: business process improvement, integration, information system, small-mid size of bottled drinking
water industr
Designing Enterprise Resources Planning Application for Integrating Main Activities in a Simulator Model of SCM Network Distribution
No full textCollaborative supply chain is a specific topic in supply chain management and studied by
industrial engineering students in supply chain management course. Unfortunately, conventional
learning media cannot explain the phenomenon of collaborative supply chain to the students. This study
aimed to design a dynamic learning media so that inter-company collaboration and information sharing
on the activities of Supply Chain entities can be explained effectively to the students. The problem was
solved using 3 (three) steps. First, the distribution network was described using mock up. It consists of
miniature trucks, miniature network and miniature of the manufacturer-distributor-retailer embedded
with tag and reader of RFID. Second, the Enterprise Resources Planning application was developed for
supporting business activities. Third, we developed the integrator consists of monitor’s user interface
and practice modules. The result of the research - an SCM-Simulator – will be able to improve learning
skills of industrial engineering graduates, especially abilities to identify, formulate, and solve the
activities of tactical plan & operational routines of Supply Chain entities. However, distribution module
designed is for limited scale laboratory study of simple objects.
Keywords: Distribution Network, Enterprise Resource Planning, Industrial Engineering Education,
SCM Simulator,and Learning Media
Assessment of the readiness of SME to entering the modern market by using the good manufacturing practice and halal assurance system (Case study on Sari Murni SME)
No full text
Improving Vegetables' Quality in Small-Scale Farms Through Stakeholders' Collaboration
No full text[EN] Small farms are responsible for 80% of theworld¿s agricultural production although they have difficulties to meet the market quality requirements. Corporate social responsibility (CSR) programs where modern retailers invest in empowering small farmers have been implemented obtaining an increase of the supply chain (SC) profits in cases where supply and demand are balanced. In this paper, a MILP model based onWahyudin et al. (In: Proceedings of the international multiconference of engineers and computer scientists, Hong Kong, pp. 877¿882, [1]) to select the investments to carry out by modern retailers, and the product flow through the SC in situations of supply and demand imbalance is proposed. Its objective is to find out if collaboration programs have a positive impact on SC profits when supply and demand are not balanced. This model allows for the rejection of demand and product wastes. Results show that collaboration programs positively impact on the SC profits and consumer satisfaction level when there is an imbalance between demand and supply.The first author acknowledges the partial support of the Programme of
Formation of University Professors of the Spanish Ministry of Education, Culture, and Sport
(FPU15/03595), and the partial support of Project Development of an integrated maturity model for
agility, resilience and gender perspective in supply chains (MoMARGE). Application to the agricultural sector. Ref. GV/2017/025, funded by the Generalitat Valenciana. The other authors acknowledge the partial support of Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production
Systems, funded by the EU under its funding scheme H2020-MCSA-RISE-2015.Esteso, A.; Alemany Díaz, MDM.; Ortiz Bas, Á. (2020). Improving Vegetables' Quality in Small-Scale Farms Through Stakeholders' Collaboration. Lecture Notes in Management and Industrial Engineering. 95-103. https://doi.org/10.1007/978-3-030-44530-0_12S95103Wahyudin RS, Hisjam M, Yuniaristanto, Kurniawan B (2015) An agri-food supply chain model for cultivating the capabilities of farmers in accessing capital using corporate social responsibility program. In: Proceedings of the international multiconference of engineers and computer scientists, Hong Kong, pp 877–882Lowder SK, Skoet J, Raney T (2016) The number, size, and distribution of farms, smallholder farms, and family farms worldwide. World Dev 87:16–29Sutopo W, Hisjam M, Yuniaristanto (2011) An agri-food supply chain model for cultivating the capabilities of farmers accessing market using social responsibility program. Int Sch Sci Res Innov 5(11):1588–1592Sutopo W, Hisjam M, Yuniaristanto (2012) An agri-food supply chain model to enhance the business skills of small-scale farmers using corporate social responsibility. Makara J Technol 16(1):43–50Sutopo W et al (2013a) A goal programming approach for assessing the financial risk of corporate social responsibility programs in agri-food supply chain network. Proc World Congr Eng 2013:732–736Sutopo W, Hisjam M, Yuniaristanto (2013b) An agri-food supply chain model to empower farmers for supplying deteriorated product to modern retailer. In: IAENG transactions on engineering technologies: special issue of the international multiconference of engineers and computer scientists 2012. Springer Netherlands, Dordrecht, 189–202Grillo H, Alemany MME, Ortiz A, Fuertes-Miquel VS (2017) Mathematical modelling of the order-promising process for fruit supply chains considering the perishability and subtypes of products. Appl Math Model 49:255–278Sutopo W, Hisjam M, Yuniaristanto (2013c) Developing an agri-food supply chain application for determining the priority of CSR program to empower farmers as a qualified supplier of modern retailer. In: 2013 World Congress on Engineering and Computer Science, pp 1180–1184Esteso A, Alemany MME, Ortiz A (2017) Conceptual framework for managing uncertainty in a collaborative agri-food supply chain context. Working conference on virtual enterprises. Springer, Cham, pp 715–72
Mixed-Integer Linear Programming Model for Production Planning: A Case Study at Sawn Timber Production
No full textThe sawmill industry is an industry that processes logs into sawn timber products through several processes to maximize profits and meet customer demand. The process involves essential operations that have to be coordinated to get the desired product with the available resources optimally. Efficient operations can be achieved through optimal production planning by considering some factors to optimize the number of sawn timber product combinations. Optimal production planning is expected to have an impact, such as reducing the use of raw materials that can affect inventory and procurement. In this research, the author has developed a mathematical model for production planning to determine the optimal number of sawn timber product combinations. Problems were solved using mixed-integer linear programming methods with mathematical modeling that aimed for maximizing profit. Production costs, raw material costs, and purchasing costs were critically considered in this mathematical modeling. The result showed that using the developed model could integrate the factors above, fulfill the demand, and increase company income
